Reading Time: 2 minutes Mergers and acquisitions are a fact of life, and they often take a toll on everyday business; people, real estate, processes, and systems need to be properly integrated before the acquiring company and the acquired company can act as one….
Reading Time: 7 minutes Data are the eyes with which we look at reality. They are the means – not the only one – with which every company can aspire to have full awareness of itself and of the context in which it operates…
Reading Time: 4 minutes Allow me to introduce the (fictitious) Advanced Banking Corporation, or ABC for short. It may be advanced in name, but its IT systems are anything but. ABC will be our constant companion as we explore all three scenarios for data…
Reading Time: 3 minutes Some still see data virtualization as an alternative technology to ETL. For them it’s nothing more than another style of data integration. However, data virtualization is much more. Data virtualization is about abstraction. It’s about data consumers being decoupled from…
Reading Time: 3 minutes New York is one of the greatest tourist destinations in the world, but navigating your way through this vibrant city can be challenging. If you go there, one thing you cannot miss is the prevalence of Citi Bikes, which offer…
Reading Time: 5 minutes In the previous article we reviewed the architectural elements of the virtual data lake, and will discuss why a virtual data lake can play a key role for the data scientist. In this post, we will review why it plays…
Reading Time: 2 minutes The concept of big data is funny to me. It is funny because there isn’t any small data when it comes to large corporations. 99% of the companies we work with have big data and it is getting bigger. Companies’…
Reading Time: 3 minutes 2018 is exactly thirty years since I published the first data warehouse architecture. The core concepts of the architecture remain strong and viable. However, the evolution of both business needs and technology solutions over the intervening decades has led to…
Reading Time: 6 minutes In the previous article we reviewed the architectural elements of the virtual data lake, dug deeper into its technical implications. In this post, we will review the architectural elements of the virtual data lake, and will discuss why a virtual…
Reading Time: 4 minutes Believe it or not we are now over 25 years into building data warehouses and many companies around the world have very well-established systems supporting query, reporting and analysis of historical master and transaction data that has been captured from…
